Daniel Zambrano

Background

About Daniel Zambrano

Passionate Data Analyst | Machine Learning | Signal Processing | Experienced Engineer | Problem Solver Hello! I'm Daniel Alejandro Zambrano Roman, an electronic engineer with a strong academic foundation in data analysis and a knack for transforming complex datasets into actionable insights. With a diverse background spanning various industries, I thrive in dynamic and collaborative environments where I can leverage my analytical skills to drive business decision-making. Throughout my career, I've honed my expertise in machine learning, deep learning, and digital signal processing, utilizing tools like MATLAB, R, Python, and SQL to extract meaningful patterns and trends from data. Whether it's crafting ETL processes, developing machine learning algorithms, or employing visualization tools like PowerBI and Tableau, I'm committed to delivering solutions that drive organizational success. My professional journey has taken me from research projects at the University of Guanajuato to roles as an After-Sales and Product Engineer at Dahua Technology and a Radio Frequency Field Engineer across South America & the Caribbean. Along the way, I've mentored teams, streamlined processes, and achieved measurable results, such as reaching 90% of annual after-sales KPIs and reducing spare parts importation waiting times by 20%. I'm proud of my academic achievements, including receiving a research scholarship from COHNACYT of Mexico and presenting at prestigious conferences like the RVP-AI 2023. My commitment to continuous learning is evident through Power BI, data science, machine learning, and SQL courses, ensuring I stay at the forefront of industry trends and technologies. If you're looking for a dedicated data analyst with a proven track record of success and a passion for driving innovation, let's connect! I'm eager to explore how my skills and experiences can contribute to your team's success.